{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tushare as ts\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import sys\n",
    "import datetime\n",
    "import talib\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "\n",
    "\n",
    "sys.path.append(\"..\")\n",
    "\n",
    "from common.config_helper import config_helper\n",
    "from common.analysis_helper import analysis_helper\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "config = config_helper()\n",
    "start_date = \"20200101\"\n",
    "end_date = \"20201231\"\n",
    "pro = ts.pro_api(config.tushare_token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>change</th>\n",
       "      <th>pct_chg</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>20201231</td>\n",
       "      <td>24.00</td>\n",
       "      <td>26.58</td>\n",
       "      <td>23.91</td>\n",
       "      <td>26.58</td>\n",
       "      <td>24.16</td>\n",
       "      <td>2.42</td>\n",
       "      <td>10.0166</td>\n",
       "      <td>626615.43</td>\n",
       "      <td>1633441.950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>20201230</td>\n",
       "      <td>23.90</td>\n",
       "      <td>24.44</td>\n",
       "      <td>23.56</td>\n",
       "      <td>24.16</td>\n",
       "      <td>24.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>112889.17</td>\n",
       "      <td>270370.061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>20201229</td>\n",
       "      <td>24.38</td>\n",
       "      <td>25.31</td>\n",
       "      <td>24.10</td>\n",
       "      <td>24.16</td>\n",
       "      <td>24.36</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>-0.8210</td>\n",
       "      <td>105203.22</td>\n",
       "      <td>260162.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>20201228</td>\n",
       "      <td>24.99</td>\n",
       "      <td>25.05</td>\n",
       "      <td>24.20</td>\n",
       "      <td>24.36</td>\n",
       "      <td>25.25</td>\n",
       "      <td>-0.89</td>\n",
       "      <td>-3.5248</td>\n",
       "      <td>132036.21</td>\n",
       "      <td>323597.170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>20201225</td>\n",
       "      <td>25.50</td>\n",
       "      <td>25.50</td>\n",
       "      <td>24.63</td>\n",
       "      <td>25.25</td>\n",
       "      <td>25.82</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>-2.2076</td>\n",
       "      <td>168412.72</td>\n",
       "      <td>421060.629</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ts_code trade_date   open   high    low  close  pre_close  change  \\\n",
       "0  600685.SH   20201231  24.00  26.58  23.91  26.58      24.16    2.42   \n",
       "1  600685.SH   20201230  23.90  24.44  23.56  24.16      24.16    0.00   \n",
       "2  600685.SH   20201229  24.38  25.31  24.10  24.16      24.36   -0.20   \n",
       "3  600685.SH   20201228  24.99  25.05  24.20  24.36      25.25   -0.89   \n",
       "4  600685.SH   20201225  25.50  25.50  24.63  25.25      25.82   -0.57   \n",
       "\n",
       "   pct_chg        vol       amount  \n",
       "0  10.0166  626615.43  1633441.950  \n",
       "1   0.0000  112889.17   270370.061  \n",
       "2  -0.8210  105203.22   260162.007  \n",
       "3  -3.5248  132036.21   323597.170  \n",
       "4  -2.2076  168412.72   421060.629  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import  talib\n",
    "\n",
    "df = pro.daily(ts_code=\"600685.SH\", start_date = start_date, end_date = end_date)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>change</th>\n",
       "      <th>pct_chg</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>rtn</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>24.00</td>\n",
       "      <td>26.58</td>\n",
       "      <td>23.91</td>\n",
       "      <td>26.58</td>\n",
       "      <td>24.16</td>\n",
       "      <td>2.42</td>\n",
       "      <td>10.0166</td>\n",
       "      <td>626615.43</td>\n",
       "      <td>1633441.950</td>\n",
       "      <td>0.095461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>23.90</td>\n",
       "      <td>24.44</td>\n",
       "      <td>23.56</td>\n",
       "      <td>24.16</td>\n",
       "      <td>24.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>112889.17</td>\n",
       "      <td>270370.061</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-29</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>24.38</td>\n",
       "      <td>25.31</td>\n",
       "      <td>24.10</td>\n",
       "      <td>24.16</td>\n",
       "      <td>24.36</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>-0.8210</td>\n",
       "      <td>105203.22</td>\n",
       "      <td>260162.007</td>\n",
       "      <td>-0.008244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-28</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>24.99</td>\n",
       "      <td>25.05</td>\n",
       "      <td>24.20</td>\n",
       "      <td>24.36</td>\n",
       "      <td>25.25</td>\n",
       "      <td>-0.89</td>\n",
       "      <td>-3.5248</td>\n",
       "      <td>132036.21</td>\n",
       "      <td>323597.170</td>\n",
       "      <td>-0.035884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-25</th>\n",
       "      <td>600685.SH</td>\n",
       "      <td>25.50</td>\n",
       "      <td>25.50</td>\n",
       "      <td>24.63</td>\n",
       "      <td>25.25</td>\n",
       "      <td>25.82</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>-2.2076</td>\n",
       "      <td>168412.72</td>\n",
       "      <td>421060.629</td>\n",
       "      <td>-0.022323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ts_code   open   high    low  close  pre_close  change  pct_chg  \\\n",
       "trade_date                                                                      \n",
       "2020-12-31  600685.SH  24.00  26.58  23.91  26.58      24.16    2.42  10.0166   \n",
       "2020-12-30  600685.SH  23.90  24.44  23.56  24.16      24.16    0.00   0.0000   \n",
       "2020-12-29  600685.SH  24.38  25.31  24.10  24.16      24.36   -0.20  -0.8210   \n",
       "2020-12-28  600685.SH  24.99  25.05  24.20  24.36      25.25   -0.89  -3.5248   \n",
       "2020-12-25  600685.SH  25.50  25.50  24.63  25.25      25.82   -0.57  -2.2076   \n",
       "\n",
       "                  vol       amount       rtn  \n",
       "trade_date                                    \n",
       "2020-12-31  626615.43  1633441.950  0.095461  \n",
       "2020-12-30  112889.17   270370.061  0.000000  \n",
       "2020-12-29  105203.22   260162.007 -0.008244  \n",
       "2020-12-28  132036.21   323597.170 -0.035884  \n",
       "2020-12-25  168412.72   421060.629 -0.022323  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a_helper = analysis_helper(df)\n",
    "a_helper.init_df()\n",
    "a_helper.df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "trade_date\n",
       "2020-12-31    26.58\n",
       "2020-12-30    24.16\n",
       "2020-12-29    24.16\n",
       "2020-12-28    24.36\n",
       "2020-12-25    25.25\n",
       "Name: close, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_close = a_helper.df.close\n",
    "df_close.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5ec5b3e8d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.close.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "ma5 = talib.SMA(df_close.values, timeperiod=5 )\n",
    "ma10  = talib.SMA(df_close.values, timeperiod=10 )\n",
    "ma20  = talib.SMA(df_close.values, timeperiod=20 )\n",
    "ma60  = talib.SMA(df_close.values, timeperiod=60 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>ma5</th>\n",
       "      <th>ma10</th>\n",
       "      <th>ma20</th>\n",
       "      <th>ma60</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>26.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24.16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24.16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24.36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>25.25</td>\n",
       "      <td>24.902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   close     ma5  ma10  ma20  ma60\n",
       "0  26.58     NaN   NaN   NaN   NaN\n",
       "1  24.16     NaN   NaN   NaN   NaN\n",
       "2  24.16     NaN   NaN   NaN   NaN\n",
       "3  24.36     NaN   NaN   NaN   NaN\n",
       "4  25.25  24.902   NaN   NaN   NaN"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_res = pd.DataFrame(columns=['close', 'ma5', 'ma10'])\n",
    "df_res['close'] = df_close.values\n",
    "df_res['ma5'] = ma5\n",
    "df_res['ma10'] = ma10 \n",
    "df_res['ma20'] = ma20 \n",
    "df_res['ma60'] = ma60 \n",
    "df_res.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 720x432 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fig = plt.figure(figsize=(10,6))\n",
    "#ax = fig.add_subplot(111)\n",
    "ax = df_res.plot(figsize=(16,8))\n",
    "\n",
    "\n",
    "# https://vimsky.com/zh-tw/examples/detail/python-attribute-talib.SMA.html"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
